What are your best practices for numbering/labeling questions in your surveys? How do you differentiate between rows and columns in your labeling? Is your system consistent across all question types?
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We have a consistent naming system, that uses a descriptor. This is important for our work, as we have a database that we push all data to, and being able to query it in a consistent manner across studies is extremely important. We consistently number answer options, and have standard numbers for common options like yes/no/don't know/other/etc.
I actually also have a system for naming blocks as well. This way I can keep track of questions and ensure that certain language is included in every survey (disclaimers, etc.). It also helps to systematize embedded data across the board.
Most of our surveys are independent entities, but like @KatC we use some standardized block names (e.g. Intro, Consent, Closing, etc.) for content that needs to be included in every survey, and like @AnthonyR, we also use descriptive variable names for each question and consistent numbering for common answer options (Likert scales, yes/no/maybe, etc.) to make data analysis easier and more intuitive.
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